Skip to main content
Glama

Search Bettrails

search
Read-onlyIdempotent

Search everything on Bettrails by name: eSoccer (virtual football) players with their league, matches and ELO; eSoccer head-to-head pages ("lost vs troy"); NBA 2K virtual basketball players and head-to-heads; esports teams and players (League of Legends, Dota 2, CS2, VALORANT), champions, heroes, agents, maps, tournaments and countries. Returns the matching pages (readable with read_page). Useful when the exact name, league or game is not known (the same nickname can exist in several leagues).

Input Schema

NameRequiredDescriptionDefault
queryYesName or part of the name, e.g. "snak", "caps", "vitality", "lost vs troy", "jarvan".
leagueNoOptional league filter. gt = GTLeagues; adriatic = Adriatic League; valhalla = Valhalla League; valkyrie = Valkyrie League; ggleague = GG League; esportsbattle = EsportsBattle; erivals = eRivals; cyberlivearena = Cyber Live Arena; volta = EsportsBattle Volta.
languageNoLanguage of the bettrails.com links returned (normally the language of the conversation). Default: es.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.1/5.0
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnly, idempotent, non-destructive, closed-world behavior. The description adds value beyond them by disclosing the return shape ("Returns the matching pages") and the follow-up workflow ("readable with read_page"). It does not mention result limits or pagination, so not a 5.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

One dense sentence that is front-loaded with the verb and scope, followed by the return/follow-up note. The long enumeration is justified for disambiguating a universal search, though it reads as a run-on rather than crisp clauses.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no output schema, the description correctly compensates by describing results as pages readable via read_page and by giving concrete query examples ("snak", "caps", "lost vs troy"). Scope, usage condition, and output handling are covered; only result limits/pagination are unaddressed.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%: the query, league enum meanings, and language default are all documented in the schema itself. The description only echoes "by name" and does not add format, matching behavior, or filtering nuances beyond the schema, so the baseline 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb (Search) and enumerates the exact resource scope: eSoccer players/matches/ELO, head-to-head pages, NBA 2K players, esports teams/players, champions, heroes, agents, maps, tournaments, countries. This breadth contrasts implicitly with the narrow sibling tools (esoccer_player, esoccer_head_to_head), so an agent can tell this is the broad entry point.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

"Useful when the exact name, league or game is not known (the same nickname can exist in several leagues)" gives a clear selection condition. It stops short of explicitly naming the alternatives (e.g., use esoccer_player when the league is known), so it is clear context without full when-not routing.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

Resources